# Copyright (c) Facebook, Inc. and its affiliates.
# Copyright 2020 Huawei Technologies Co., Ltd
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
#     http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
# --------------------------------------------------------
# Copyright (c) OpenMMLab. All rights reserved.
from mmcv.cnn import ConvModule
from mmcv.utils.parrots_wrapper import SyncBatchNorm


def _conv_has_norm(module, sync_bn):
    for m in module.modules():
        if isinstance(m, ConvModule):
            if not m.with_norm:
                return False
            if sync_bn:
                if not isinstance(m.bn, SyncBatchNorm):
                    return False
    return True


def to_cuda(module, data):
    module = module.cuda()
    if isinstance(data, list):
        for i in range(len(data)):
            data[i] = data[i].cuda()
    return module, data
